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JICHAO HONG
JICHAO HONG
北京科技大学&北京理工大学&韦恩州立大学
Verified email at ustb.edu.cn
Title
Cited by
Cited by
Year
Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods
Y Zhao, P Liu, Z Wang, L Zhang, J Hong
Applied Energy 207, 354-362, 2017
3162017
Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks
J Hong, Z Wang, Y Yao
Applied Energy 251, 113381, 2019
2562019
Voltage fault diagnosis and prognosis of battery systems based on entropy and Z-score for electric vehicles
Z Wang, J Hong, P Liu, L Zhang
Applied energy 196, 289-302, 2017
2292017
Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles
J Hong, Z Wang, W Chen, LY Wang, C Qu
Journal of Energy Storage 30, 101459, 2020
1232020
Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered
J Hong, Z Wang, W Chen, L Wang, P Lin, C Qu
Journal of Cleaner Production 294, 125814, 2021
1162021
Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks
J Hong, Z Wang, W Chen, Y Yao
Applied Energy 254, 113648, 2019
792019
Big-data-based thermal runaway prognosis of battery systems for electric vehicles
J Hong, Z Wang, P Liu
Energies 10 (7), 919, 2017
732017
Thermal runaway prognosis of battery systems using the modified multiscale entropy in real-world electric vehicles
J Hong, Z Wang, F Ma, J Yang, X Xu, C Qu, J Zhang, T Shan, Y Hou, ...
IEEE Transactions on Transportation Electrification 7 (4), 2269-2278, 2021
712021
Investigation on overcharge-caused thermal runaway of lithium-ion batteries in real-world electric vehicles
J Hong, Z Wang, C Qu, Y Zhou, T Shan, J Zhang, Y Hou
Applied Energy 321, 119229, 2022
572022
Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle
J Yang, T Zhang, J Hong, H Zhang, Q Zhao, Z Meng
Energy 233, 121221, 2021
512021
Hydrogen engine operation strategies: recent progress, industrialization challenges, and perspectives
Z Sun, J Hong, T Zhang, B Sun, B Yang, L Lu, L Li, K Wu
International Journal of Hydrogen Energy 48 (1), 366-392, 2023
472023
Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles
R Li, J Hong, H Zhang, X Chen
Energy 257, 124771, 2022
442022
Multi‐fault synergistic diagnosis of battery systems based on the modified multi‐scale entropy
J Hong, Z Wang, W Chen, L Wang
International Journal of Energy Research 43 (14), 8350-8369, 2019
422019
Battery voltage and state of power prediction based on an improved novel polarization voltage model
P Lin, P Jin, J Hong, Z Wang
Energy Reports 6, 2299-2308, 2020
372020
Data-driven energy management and velocity prediction for four-wheel-independent-driving electric vehicles
J Liu, Z Wang, Y Hou, C Qu, J Hong, N Lin
ETransportation 9, 100119, 2021
332021
A novel mechanical-electric-hydraulic power coupling electric vehicle considering different electrohydraulic distribution ratios
J Hong, F Ma, X Xu, J Yang, H Zhang
Energy Conversion and Management 249, 114870, 2021
312021
Research on integration simulation and balance control of a novel load isolated pure electric driving system
J Hong, Z Wang, T Zhang, H Yin, H Zhang, W Huo, Y Zhang, Y Li
Energy 189, 116220, 2019
312019
Thermal fault prognosis of lithium-ion batteries in real-world electric vehicles using self-attention mechanism networks
J Hong, H Zhang, X Xu
Applied Thermal Engineering 226, 120304, 2023
282023
Electric vehicle battery fault diagnosis based on statistical method
Y Zhao, P Liu, Z Wang, J Hong
Energy Procedia 105, 2366-2371, 2017
272017
Accurate state of charge prediction for real-world battery systems using a novel dual-dropout-based neural network
R Li, H Wang, H Dai, J Hong, G Tong, X Chen
Energy 250, 123853, 2022
252022
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